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Calculation of intersubband plasmons in doped carbon nanotubes.
Simulation for the conduction between carbon nanotubes (CNTs) in a random network field effect transistor
Ansys Mechanical APDL files for mesh generation and simulation of carbon reinforced composites
The main objective in this analysis will be to use deep learning algorithms to predict atomic coordinates of carbon nanotubes. Using the carbon nanotubes dataset from the UCI Machine Learning data repository.
Monte Carlo simulation of exciton diffusion in carbon nanotube networks
Code to generate randomised initial periodic molecular structure with 2 molecule types for MD simulations
This repository contains source code and PCB designs for a switch matrix to measure carbon nanotube field-effect transistors.